Statistical Comparisons of the Different \(\text{TC-HGR}\)  Variants for Window Size 300ms: To examine the importance and significance of \(\text{TC-HGR}\)  variants, we perform statistical tests for all models considering \(\mathit {W}=300ms\) . By following [1]}, the Wilcoxon signed-rank test [2]} is used in which each user is considered as a separate dataset. As illustrated in Fig. REF , we conduct comparison between the model with the least number of parameters (i.e., Model 1) and other models. (i.e., Model 2, 3, and 4). Using Wilcoxon signed-rank test, it can be mentioned that no statistical significance was observed comparing Model 1 and Model 3 in Fig. REF . However,
Model 1 is significant versus Model 2 (or Model 4) because the \(p\) -value is less than \(0.05\) . Further details are provided in Fig. REF  where the \(p\) -value is indicated by the following symbols:
